Graduate Trainee (Apprentice), Global Technology

Reporting To: Director, Head of Sales & Marketing Tech Shift: EMEA (1:30 pm - 10:30 pm IST) (India) About Russell Investments, Mumbai: Russell Investments is a leading outsourced financial partner and global investment solutions firm providing a wide range of investment capabilities to institutional investors, financial intermediaries, and individual investors around the world. Building on an 90-year legacy of continuous innovation to deliver exceptional value to clients, Russell Investments works every day to improve the financial security of its clients. The firm is “Top 12 Ranked Consultant (2009-2024)” in P&I survey 2024 with $962 billion in assets under advisement (as of December 31, 2025) and $376.9 billion in assets under management (as of December 31, 2025) for clients in 30 countries. Headquartered in Seattle, Washington in the United States, Russell Investments has offices around the world, including London, New York, Toronto, Sydney, Tokyo, Shanghai – and has opened a new office in Mumbai, India in June 2023. Joining the Mumbai office is an incredible opportunity to work closely with global stakeholders to support the technology and infrastructure that drives the investment and trading processes of a globally recognized asset management firm. Be part of the team based out of Goregaon (East) and contribute to the foundation and culture of the firm’s growing operations in India. The Mumbai office operates with varying shifts to accommodate time zones around the world. For more information, please visit . Job Description: Apprenticeship is a 12-month program that will provide a comprehensive learning experience, blending theoretical knowledge with on-the-job training. Over the 12-month period, apprentices at Russell Investments will gain valuable exposure to industry while developing essential soft skills and acclimating to a professional corporate environment. Eligibility Should not be self-employed Should not be enrolled under other government-funded programs Should not be practicing professionally at the time of application Should not be registered on EPF/ ESIC Portal Should not have completed their education from a foreign university Apprentices who enroll should have their Aadhaar seeded with their personal mobile number and personal email address. This is a mandate Role Summary We are looking for an enthusiastic Associate AI Product apprentice to support the development and adoption of AI-powered solutions across the organization. The successful candidate will work closely with business stakeholders, product managers, engineers, and AI teams to identify business problems, gather requirements, analyze opportunities, and help shape AI-driven products and experiences. Key Responsibilities Support the definition and refinement of AI product requirements. Conduct business and user research to identify opportunities for AI solutions. Document user stories, requirements, and acceptance criteria. Assist in managing and prioritizing the product backlog. Track product adoption and usage metrics. Gather user feedback and support continuous product improvement. Perform market and competitor research on AI technologies and trends. Support product demonstrations, training sessions, and stakeholder communications. Qualifications Bachelor's degree in Engineering, Computer Science, Data Science, Business, Economics, or a related discipline. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Curiosity about AI, technology, and digital innovation. Preferred Skills Basic understanding of AI, Machine Learning, and Generative AI concepts. Familiarity with tools such as ChatGPT, Microsoft Copilot, Azure AI, or similar platforms Experience with data analysis tools such as Excel, Power BI, or Tableau. Exposure to Agile methodologies. What Success Looks Like Strong stakeholder engagement and communication. Effective coordination of AI initiatives. Ability to translate business needs into actionable requirements. Demonstrated learning and growth in AI and product management. Contribution to successful AI product launches and adoption.